Overview

Dataset statistics

Number of variables8
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory69.6 B

Variable types

Categorical4
Numeric4

Dataset

Description인천광역시 미추홀구 주안동지역의 시유지 현황 데이터로 위임재산관리관,동명,번지,공부지목 등의 데이터를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15100128&srcSe=7661IVAWM27C61E190

Alerts

재산구분 has constant value ""Constant
위임 재산관리관 has constant value ""Constant
동명 has constant value ""Constant
실소유(연)면적 is highly overall correlated with 공부면적 High correlation
공부면적 is highly overall correlated with 실소유(연)면적 High correlation
호 has 4 (4.9%) zerosZeros

Reproduction

Analysis started2024-01-28 08:09:23.547938
Analysis finished2024-01-28 08:09:25.241191
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
일반재산
82 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반재산
2nd row일반재산
3rd row일반재산
4th row일반재산
5th row일반재산

Common Values

ValueCountFrequency (%)
일반재산 82
100.0%

Length

2024-01-28T17:09:25.288883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:09:25.365181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 82
100.0%

위임 재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
미추홀구청 재무과
82 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미추홀구청 재무과
2nd row미추홀구청 재무과
3rd row미추홀구청 재무과
4th row미추홀구청 재무과
5th row미추홀구청 재무과

Common Values

ValueCountFrequency (%)
미추홀구청 재무과 82
100.0%

Length

2024-01-28T17:09:25.441152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:09:25.515707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구청 82
50.0%
재무과 82
50.0%

동명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
주안동
82 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주안동
2nd row주안동
3rd row주안동
4th row주안동
5th row주안동

Common Values

ValueCountFrequency (%)
주안동 82
100.0%

Length

2024-01-28T17:09:25.596419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:09:25.682201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주안동 82
100.0%

번지
Real number (ℝ)

Distinct39
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean950.79268
Minimum41
Maximum1599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-01-28T17:09:25.797950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile70.25
Q1413
median924
Q31516
95-th percentile1539
Maximum1599
Range1558
Interquartile range (IQR)1103

Descriptive statistics

Standard deviation572.07648
Coefficient of variation (CV)0.60168372
Kurtosis-1.7252603
Mean950.79268
Median Absolute Deviation (MAD)589.5
Skewness-0.16326246
Sum77965
Variance327271.5
MonotonicityIncreasing
2024-01-28T17:09:25.935285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
413 9
 
11.0%
1512 5
 
6.1%
1539 5
 
6.1%
1538 4
 
4.9%
1537 4
 
4.9%
1514 4
 
4.9%
41 3
 
3.7%
1513 3
 
3.7%
321 3
 
3.7%
1536 3
 
3.7%
Other values (29) 39
47.6%
ValueCountFrequency (%)
41 3
3.7%
69 1
 
1.2%
70 1
 
1.2%
75 1
 
1.2%
104 1
 
1.2%
214 1
 
1.2%
271 1
 
1.2%
276 1
 
1.2%
321 3
3.7%
379 2
2.4%
ValueCountFrequency (%)
1599 1
 
1.2%
1574 1
 
1.2%
1546 1
 
1.2%
1539 5
6.1%
1538 4
4.9%
1537 4
4.9%
1536 3
3.7%
1533 1
 
1.2%
1516 2
 
2.4%
1515 2
 
2.4%

호
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.707317
Minimum0
Maximum180
Zeros4
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-01-28T17:09:26.066023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median19
Q337.5
95-th percentile70
Maximum180
Range180
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation31.473872
Coefficient of variation (CV)1.1359408
Kurtosis8.0741476
Mean27.707317
Median Absolute Deviation (MAD)15
Skewness2.4196802
Sum2272
Variance990.60464
MonotonicityNot monotonic
2024-01-28T17:09:26.192081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 6
 
7.3%
2 4
 
4.9%
0 4
 
4.9%
18 3
 
3.7%
9 3
 
3.7%
6 3
 
3.7%
30 3
 
3.7%
14 3
 
3.7%
7 3
 
3.7%
8 2
 
2.4%
Other values (37) 48
58.5%
ValueCountFrequency (%)
0 4
4.9%
1 6
7.3%
2 4
4.9%
3 1
 
1.2%
4 2
 
2.4%
5 2
 
2.4%
6 3
3.7%
7 3
3.7%
8 2
 
2.4%
9 3
3.7%
ValueCountFrequency (%)
180 1
1.2%
146 1
1.2%
116 1
1.2%
73 1
1.2%
70 2
2.4%
67 1
1.2%
65 1
1.2%
62 1
1.2%
60 1
1.2%
58 1
1.2%

공부지목
Categorical

Distinct7
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size788.0 B
대
29 
도로
26 
구거
18 
잡종지
6 
철도용지
 
1
Other values (2)
 
2

Length

Max length4
Median length2
Mean length1.7439024
Min length1

Unique

Unique3 ?
Unique (%)3.7%

Sample

1st row잡종지
2nd row잡종지
3rd row철도용지
4th row잡종지
5th row대

Common Values

ValueCountFrequency (%)
대 29
35.4%
도로 26
31.7%
구거 18
22.0%
잡종지 6
 
7.3%
철도용지 1
 
1.2%
전 1
 
1.2%
주차장 1
 
1.2%

Length

2024-01-28T17:09:26.322725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:09:26.412918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 29
35.4%
도로 26
31.7%
구거 18
22.0%
잡종지 6
 
7.3%
철도용지 1
 
1.2%
전 1
 
1.2%
주차장 1
 
1.2%

실소유(연)면적
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.63366
Minimum1.8
Maximum2339.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-01-28T17:09:26.520558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile5.065
Q118.825
median49.25
Q3106.675
95-th percentile282.8
Maximum2339.4
Range2337.6
Interquartile range (IQR)87.85

Descriptive statistics

Standard deviation290.22821
Coefficient of variation (CV)2.5317888
Kurtosis45.006965
Mean114.63366
Median Absolute Deviation (MAD)34.45
Skewness6.3276289
Sum9399.96
Variance84232.413
MonotonicityNot monotonic
2024-01-28T17:09:26.626360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.9 2
 
2.4%
37.9 2
 
2.4%
113.6 2
 
2.4%
49.5 2
 
2.4%
123.9 1
 
1.2%
139.0 1
 
1.2%
34.1 1
 
1.2%
43.8 1
 
1.2%
167.9 1
 
1.2%
125.8 1
 
1.2%
Other values (68) 68
82.9%
ValueCountFrequency (%)
1.8 1
1.2%
2.5 1
1.2%
3.0 1
1.2%
4.4 1
1.2%
5.0 1
1.2%
6.3 1
1.2%
6.9 1
1.2%
8.3 1
1.2%
10.0 1
1.2%
10.6 1
1.2%
ValueCountFrequency (%)
2339.4 1
1.2%
1134.59 1
1.2%
666.67 1
1.2%
335.0 1
1.2%
285.0 1
1.2%
241.0 1
1.2%
226.8 1
1.2%
193.4 1
1.2%
182.6 1
1.2%
167.9 1
1.2%

공부면적
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.11098
Minimum1.8
Maximum2623.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-01-28T17:09:26.740332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile5.065
Q119.55
median49.45
Q3111.625
95-th percentile348.365
Maximum2623.1
Range2621.3
Interquartile range (IQR)92.075

Descriptive statistics

Standard deviation423.83246
Coefficient of variation (CV)2.768139
Kurtosis24.413645
Mean153.11098
Median Absolute Deviation (MAD)34.6
Skewness4.9288126
Sum12555.1
Variance179633.95
MonotonicityNot monotonic
2024-01-28T17:09:26.854052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.9 2
 
2.4%
37.9 2
 
2.4%
113.6 2
 
2.4%
49.5 2
 
2.4%
123.9 1
 
1.2%
139.0 1
 
1.2%
34.1 1
 
1.2%
43.8 1
 
1.2%
167.9 1
 
1.2%
125.8 1
 
1.2%
Other values (68) 68
82.9%
ValueCountFrequency (%)
1.8 1
1.2%
2.5 1
1.2%
3.0 1
1.2%
4.4 1
1.2%
5.0 1
1.2%
6.3 1
1.2%
6.9 1
1.2%
8.3 1
1.2%
10.0 1
1.2%
10.6 1
1.2%
ValueCountFrequency (%)
2623.1 1
1.2%
2339.4 1
1.2%
1762.3 1
1.2%
550.0 1
1.2%
351.7 1
1.2%
285.0 1
1.2%
241.0 1
1.2%
226.8 1
1.2%
193.4 1
1.2%
182.6 1
1.2%

Interactions

2024-01-28T17:09:24.808800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:23.690845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:23.973337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.267979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.881228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:23.764392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.050865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.344781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.952936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:23.836079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.121151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.412788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:25.014052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:23.905417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.188818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:09:24.469959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:09:26.945430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호공부지목실소유(연)면적공부면적
번지1.0000.7340.7160.2930.402
호0.7341.0000.6160.4850.317
공부지목0.7160.6161.0000.0000.000
실소유(연)면적0.2930.4850.0001.0000.947
공부면적0.4020.3170.0000.9471.000
2024-01-28T17:09:27.052158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호실소유(연)면적공부면적공부지목
번지1.000-0.0200.1920.1680.485
호-0.0201.000-0.369-0.3730.374
실소유(연)면적0.192-0.3691.0000.9560.000
공부면적0.168-0.3730.9561.0000.000
공부지목0.4850.3740.0000.0001.000

Missing values

2024-01-28T17:09:25.101232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:09:25.203374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

재산구분위임 재산관리관동명번지호공부지목실소유(연)면적공부면적
0일반재산미추홀구청 재무과주안동415잡종지123.9123.9
1일반재산미추홀구청 재무과주안동418잡종지143.8143.8
2일반재산미추홀구청 재무과주안동419철도용지21.521.5
3일반재산미추홀구청 재무과주안동699잡종지39.339.3
4일반재산미추홀구청 재무과주안동704대25.125.1
5일반재산미추홀구청 재무과주안동75180대285.0285.0
6일반재산미추홀구청 재무과주안동10424대34.334.3
7일반재산미추홀구청 재무과주안동2142대193.4193.4
8일반재산미추홀구청 재무과주안동27162대5.05.0
9일반재산미추홀구청 재무과주안동2769도로63.063.0
재산구분위임 재산관리관동명번지호공부지목실소유(연)면적공부면적
72일반재산미추홀구청 재무과주안동153820도로49.549.5
73일반재산미추홀구청 재무과주안동153823도로49.549.5
74일반재산미추홀구청 재무과주안동153934도로113.6113.6
75일반재산미추홀구청 재무과주안동153935도로113.6113.6
76일반재산미추홀구청 재무과주안동153938도로113.4113.4
77일반재산미추홀구청 재무과주안동153939도로113.7113.7
78일반재산미추홀구청 재무과주안동153942도로226.8226.8
79일반재산미추홀구청 재무과주안동154610도로89.389.3
80일반재산미추홀구청 재무과주안동15741대65.965.9
81일반재산미추홀구청 재무과주안동15990잡종지2339.42339.4